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Location: Dubai, United Arab Emirates Müller’s Solutions is seeking an experienced and results-driven ServiceNow Service Delivery Manager to oversee the delivery and performance of our ServiceNow solutions. In this role, you will be responsible for managing service delivery teams, ensuring alignment with business goals, and driving continuous improvement in ServiceNow platform operations. Key Responsibilities: Take full responsibility for the overall delivery of the ServiceNow platform services, encompassing: Continuous operations and support, ensuring the platform is always available, reliable, and performing optimally to meet organizational needs. Enhancements driven by the backlog, prioritizing and implementing improvements and new features that align with business objectives and user feedback. Coordination of releases and deployments, managing schedules, resources, and communication to guarantee smooth transitions and minimal disruption. Serve as the main escalation point and decision-maker for delivery-related issues, ensuring that: Problems are resolved quickly through effective troubleshooting, root cause analysis, and engagement with relevant teams. Risks are effectively controlled by proactively identifying potential issues and implementing mitigation strategies. Delivery obligations are fulfilled in accordance with agreed timelines, quality standards, and contract requirements. Collaborate closely with stakeholders to: Comprehend and prioritize demands, balancing competing needs to deliver maximum value to the organization. Question and verify requirements when necessary, ensuring clarity, feasibility, and alignment with strategic goals. Guarantee alignment between business objectives and platform capabilities, facilitating seamless integration and optimal use of ServiceNow features. Provide strong leadership to the delivery teams, which include: Technical consultants and developers, guiding them to apply best practices, innovate, and maintain high code quality. Business analysts, supporting requirement gathering, documentation, and communication between business and technical teams. QA and support personnel, ensuring thorough testing, issue identification, and responsive support services. Lead delivery governance and uphold standards, ensuring: Consistent development practices that adhere to organizational policies and industry standards. Controlled release processes that minimize risk, ensure quality, and provide clear documentation. Alignment to platform design and reuse principles, promoting efficient, maintainable, and scalable solutions. Ensure quality and accountability across delivery, including: Reviewing progress against commitments, conducting regular status meetings and reporting to stakeholders. Monitoring delivery KPIs and SLAs, analyzing performance data to identify trends and areas for improvement. Supporting issue resolution and performance improvement initiatives to enhance service quality and customer satisfaction. Act as a trusted point of contact for stakeholders, capable of: Representing technical and functional decisions clearly and effectively, bridging communication between business and IT teams. Managing expectations and resolving conflicts diplomatically to maintain positive relationships and project momentum. Standing behind delivery teams with confidence, advocating for resources, and providing guidance to overcome challenges. Support continuous improvement of service delivery, including: Identifying inefficiencies and bottlenecks through regular process reviews and feedback collection. Driving optimisation of processes and workflows to increase efficiency, reduce costs, and improve user experience. Promoting effective use of ServiceNow capabilities by encouraging adoption of new features, best practices, and ongoing training. Requirements 7 to 10+ years of experience in Service Delivery, with extensive knowledge of ServiceNow platforms, including: In-depth understanding of various ServiceNow modules and features such as: ITSM ITOM / CMDB HRSD / enterprise services CSM Capable of: Confidently engaging with both technical teams and business stakeholders Critically evaluating requirements and assumptions when necessary Converting high-level requirements into actionable delivery strategies Demonstrated experience in managing: Multiple ServiceNow delivery streams, including operations and enhancements Backlog-driven development prioritization Cross-functional teams Strong knowledge of: Service delivery models and governance frameworks Management of SLAs and KPIs Release and change management procedures Ability to: Assertively participate in stakeholder discussions and justify delivery decisions Effectively support and represent delivery teams Maintain control in complex or high-pressure situations Preferred Qualifications: ITIL Foundation or higher certification ServiceNow Certified System Administrator or other relevant certifications Experience working with Agile methodologies and project management tools Familiarity with automation and workflow optimization within the ServiceNow platform Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Philippines; South Africa; Pakistan; Mexico; Colombia; Argentina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include high-growth SaaS companies, digital agencies, FinTech platforms, MarTech startups, and other fast-scaling tech-enabled businesses. About the Company Our client is a fast-growing developer infrastructure and observability company focused on helping engineering teams improve the performance, reliability, and security of Node.js applications at scale. Their platform combines advanced observability, AI-powered diagnostics, and security tooling to help organizations detect vulnerabilities, optimize production environments, and resolve complex debugging issues faster. Serving engineering teams globally, the company works with organizations ranging from high-growth startups to enterprise environments running mission-critical Node.js infrastructure. With established sales processes and a strong technical product suite, they are expanding their commercial team to support continued growth in the US market. Job Summary We are seeking a Senior Account Executive with full-cycle sales experience to drive revenue growth for a highly technical SaaS platform serving developers and engineering organizations. This role is ideal for experienced remote sales professionals who thrive in consultative selling environments and have a proven track record selling into the US market. You will own the sales process from outbound prospecting and lead qualification through discovery, solutioning, negotiation, and close. Due to the complexity of the product suite and multiple SKUs, this role requires strong technical curiosity, executive-level communication skills, and the ability to navigate sophisticated buying cycles. Candidates with strong SDR backgrounds and exceptional performance records may also be considered. Key Responsibilities Own the full sales cycle from outbound prospecting through closed-won deals. Engage technical buyers, engineering leaders, and decision-makers across US-based organizations. Conduct discovery calls to identify customer pain points related to Node.js performance, observability, and security. Build and manage a healthy pipeline through LinkedIn outreach, lead sourcing, and proactive prospect engagement. Drive opportunities through qualification, solutioning, proposal, and negotiation stages. Collaborate with technical and leadership teams to align customer needs with platform capabilities. Maintain accurate CRM records and pipeline forecasting. Meet and exceed KPIs related to: Contacts engaged Conversion to solutioning Pipeline progression Closed revenue performance Represent the brand professionally in all customer interactions and external communications. Requirements 5+ years of B2B SaaS sales experience in Account Executive, Senior SDR, or similar closing roles. Proven success selling into the US market. Strong full-cycle sales experience with measurable quota attainment. Experience managing complex sales processes with multiple stakeholders and product offerings. Excellent English communication skills with first-language fluency and a neutral accent. Strong lead qualification, LinkedIn outreach, and lead sourcing experience. Ability to work full-time remotely with overlap in CST hours. Experience using modern sales tools and CRMs. Self-motivated, proactive, and comfortable working in a fast-paced growth-stage environment. Nice-to-Have Skills Experience with HubSpot LinkedIn Sales Navigator proficiency Slack experience Spanish language skills Experience selling technical products, developer tools, observability platforms, or infrastructure software Ideal Candidate Profile Senior-level Account Executive with experience selling technical or developer-focused solutions Comfortable navigating consultative and solution-based sales conversations Strong personal accountability and pipeline ownership Seeking a long-term remote opportunity with growth potential Able to confidently represent a sophisticated technical brand in client-facing environments Benefits 💸High earning potential 🌎 Fully remote role with international companies 🚀 Direct in-house placement (not outsourced) 📈 Clear career progression 🎯 Structured onboarding and defined performance KPIs

Location: South Africa; Pakistan; Philippines; Poland; Romania; North Macedonia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Type: Full-time Location: Remote About the Company Our client is a rapidly expanding European business operating in a highly data-centric environment. They are focused on leveraging analytics, technology, and operational efficiency to improve decision-making across commercial, financial, and operational functions. As part of their ongoing digital transformation, they are investing heavily in modern business intelligence infrastructure, advanced reporting capabilities, and enterprise-wide analytics solutions. Job Summary We are looking for a highly analytical and detail-oriented Business Intelligence Analyst to support strategic decision-making through advanced reporting, data modelling, and actionable insights. This role is ideal for someone who thrives in a fast-paced environment and enjoys transforming complex data into meaningful business recommendations. You will play a key role in developing scalable reporting systems, maintaining enterprise data environments, and uncovering trends that drive operational and commercial performance. The ideal candidate brings strong expertise in Power BI, Microsoft Fabric, SQL, Dynamics 365 CRM, and ERP reporting, combined with excellent communication and stakeholder management skills. Key Responsibilities Business Intelligence & Reporting Design, develop, and maintain Power BI dashboards and reporting solutions across sales, finance, operations, inventory, and customer performance metrics Own the full reporting lifecycle, including requirements gathering, data modelling, deployment, testing, and ongoing optimization Ensure reporting accuracy, consistency, scalability, and alignment with business KPIs Manage report scheduling, refresh processes, access permissions, and version control Continuously improve reporting capabilities to support evolving business needs Data Engineering & Analytics Infrastructure Build and maintain scalable data solutions using Microsoft Fabric, including Lakehouses, Dataflows, Data Pipelines, and Warehouses Create optimized semantic models and datasets that enable self-service analytics across teams Support data governance, quality assurance, and data consistency initiatives Collaborate with technical and operational teams to improve integrations and reporting architecture CRM & ERP Data Analysis Analyze Microsoft Dynamics 365 CRM data to provide insights into sales pipelines, customer engagement, and account performance Develop reporting and insights from ERP systems covering purchasing, pricing, inventory, and operational performance Help unify CRM and ERP reporting into a centralized and accurate business intelligence environment Strategic Insights & Forecasting Identify business trends, anomalies, risks, and opportunities through proactive data analysis Deliver recurring insight reports and presentations to leadership teams and stakeholders Support forecasting, scenario modelling, and strategic planning initiatives Provide actionable recommendations that support business growth and operational improvements Stakeholder Collaboration Partner closely with leadership, sales, finance, and operations teams across multiple European markets Translate complex datasets into clear, executive-level insights and recommendations Promote data literacy through documentation, reporting guidance, and stakeholder training Requirements 3–5+ years of experience in Business Intelligence, Data Analytics, or a similar analytical role Advanced experience with Power BI, including data modelling and Power BI Service administration Hands-on experience with Microsoft Fabric, including Lakehouses, Dataflows, Warehouses, and Pipelines Strong SQL skills and experience working with relational databases Experience working with Microsoft Dynamics 365 CRM environments Ability to translate complex analysis into commercially focused business insights Excellent communication, stakeholder management, and presentation skills Experience supporting multi-country or European business operations is highly preferred Knowledge of Microsoft Purview or data governance frameworks Experience with Azure Data Services such as Azure SQL, Synapse, or Azure Data Factory Exposure to predictive analytics, forecasting models, or advanced analytics techniques Background in manufacturing, wholesale, logistics, or distribution industries Familiarity with Power Automate and workflow automation tools Benefits 💰 Competitive salary package based on experience and technical expertise 🌍 Remote-first working environment with flexibility 📊 Work with cutting-edge Microsoft data technologies including Fabric and Power BI 🚀 Join a growing organization investing heavily in analytics transformation 📈 High visibility role with direct impact on strategic business decisions 🤝 Collaborate with senior leaders across European markets 🎯 Opportunity to shape reporting strategy and become a trusted business advisor 📚 Ongoing professional development and learning opportunities

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US and Canada — we also have offices in NYC, San Francisco, and Seattle We are growing our commercial team and looking for growth-minded leaders who are passionate about the future of AI and content creation. As our first leader within Sales Development, you will build and scale our founding BDR organization. This role is equal parts people leadership and systems building. You’ll directly manage and develop our early BDR team (currently two people) while building the infrastructure, processes, and outbound strategies that define the future of prospecting at Runway. We’re not looking to replicate traditional SDR playbooks — we want someone excited to rethink sales development through AI-powered workflows, automation, product signals, and highly personalized outreach, while helping shape how Runway wins in the enterprise market. WHAT YOU’LL DO - Lead, mentor, and grow Runway’s founding BDR team, creating a high-performance culture centered around curiosity, experimentation, and continuous improvement - Build the systems, processes, and infrastructure that power a modern AI-first sales development organization - Define how AI tooling, automation, and human creativity work together across outbound prospecting, research, personalization, and pipeline generation - Turn product usage signals, API activity, and inbound demand into scalable enterprise opportunity generation workflows - Develop highly targeted, vertical-specific outbound motions aligned to Runway’s evolving use cases and customer needs - Continuously test and refine messaging, sequencing, workflows, and enablement programs to improve team effectiveness - Partner closely with Sales, Marketing, Creative, and RevOps to shape ICP strategy, lead routing, and overall GTM execution - Work alongside sales leadership to help define and scale Runway’s enterprise sales motion WHAT YOU’LL NEED - 5+ years of experience in sales, growth, or GTM leadership roles - Experience managing and developing high-performing SDR/ BDR teams - Strong systems-thinking mindset with experience building outbound processes and operational infrastructure from the ground up - Deep interest in AI-native workflows and a strong point of view on how AI will reshape modern prospecting and sales development - Experience operating in product-led, usage-based, or highly technical GTM environments - Highly analytical and data-driven, with the ability to use insights to drive strategy and execution - Comfortable operating in fast-moving, ambiguous environments and excited to experiment and iterate quickly - Strong communicator and cross-functional collaborator with a builder mentality Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Singapore Office; Singapore Workplace: Hybrid The Business Development & Partnerships team plays an important role in our go-to-market strategy by building and scaling the ecosystem that surrounds Chainalysis, from technology alliances to system integrators and resellers. The team is responsible for identifying and developing inorganic growth opportunities, unlocking new routes to market, and fostering a diverse partner ecosystem that amplifies our reach while making it easier for customers to buy and deploy Chainalysis. The Channel Partnerships Manager, APAC will own the day-to-day management of channel partners across the region, with a focus on activating, enabling, and growing a defined set of channel partners. This role is focused on regional execution and will be responsible for helping partners and internal field teams work together more effectively to drive pipeline, revenue, and market coverage in APAC. In this role, you’ll: - Build strong working relationships with key partners in-region, including resellers, distributors, MSPs, and SI partners, and serve as the primary point of contact for partner engagement within the geo. - Drive partner enablement so partners can effectively position Chainalysis, qualify opportunities, navigate sales plays, and work within our channel processes and requirements. - Develop and execute joint plans with priority partners in APAC to increase partner-sourced pipeline, improve partner engagement, and expand partner contribution to regional growth. - Work closely with regional sales leaders, AEs, RevOps, Marketing, and Partnerships to align partners to the right accounts, opportunities, and go-to-market motions in-region. - Identify high-potential regional partners to prioritize, grow existing partner performance, and help recruit new partners where there is clear market opportunity or coverage need. - Support internal field enablement in APAC so sellers understand when and how to engage partners, the relevant program guidelines, and how to work effectively with indirect routes to market. - Run a consistent operating cadence with top partners, including business reviews, pipeline check-ins, account mapping, and escalation management where needed. - Track partner activity and outcomes in partnership with RevOps and sales, including partner-sourced pipeline, training progress, and overall partner performance in the region. - Coordinate closely with the broader Partnerships team to ensure regional execution is aligned to the overall program while remaining focused on in-market partner activation and revenue growth. We’re looking for candidates who have: - Proven experience managing channel, reseller, distributor, MSP, VAR, and SI relationships at a B2B technology company. - Demonstrated ability to enable partners effectively, including training on value proposition, sales plays, qualification, and how to work opportunities with internal sales teams. - Experience driving measurable business outcomes through partners, including partner-sourced pipeline - Strong cross-functional collaboration skills, with experience working closely with sales, marketing, RevOps, and other internal stakeholders to execute partner plans. - Strong commercial judgment and execution skills, including the ability to prioritize partners, manage competing opportunities, and navigate ambiguity in a fast-moving environment. - Experience working in APAC or in a multi-country region with different market dynamics, sales motions, and partner maturity levels. - Strong communication and stakeholder management skills, with the ability to build credibility internally and externally. - Knowledge of the crypto and blockchain ecosystem, and the ability to ramp quickly on Chainalysis products, use cases, and customer needs in order to enable partners effectively. - Background in crypto, financial services, public sector, fintech, cybersecurity, or risk/compliance software. Nice to have experience: - Experience with PRM tools, deal registration processes, account mapping, and partner performance tracking. - Experience building channels in an environment where direct sales and indirect routes to market must coexist and be carefully governed. - Comfort working across time zones and in a highly matrixed global organization. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Argentina; Mexico Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Overview  The Senior Project Manager will be responsible for managing assigned accounts end-to-end, including project planning, execution, monitoring, delivery, and closure in line with Welocalize’s standard processes and tools. In addition, the Senior Project Manager will partner with the Operations Squad Lead to support large enterprise accounts. This role will serve as the primary project-level contact for clients, building strong customer relationships while collaborating closely with Welocalize account directors and production teams to maximize delivery performance, client satisfaction, quality, and profitability. The ideal candidate is a motivated and dependable professional with strong relationship-building skills across cross-functional teams. They should bring the adaptability, resilience, and energy needed to succeed in a fast-paced and evolving environment.   Main Duties Lead and supervise global teams, including internal and external stakeholders, with responsibility for both direct and indirect reports. Prepare, analyze, and implement project plans in alignment with Welocalize standards, including project initiation, workflow management, completion, status updates, invoice approvals, and client information maintenance. Develop and manage detailed project schedules to ensure timely and efficient delivery. Prepare project estimates and proposals for client review and approval. Conduct risk assessments and implement strategic plans to minimize potential issues and ensure successful outcomes. Oversee QA projects, including resource allocation, defect management, reporting, and overall quality performance. Collaborate closely with cross-functional stakeholders to achieve project and client objectives. Create and maintain process documentation as required. Operate independently with moderate support, proactively identifying and escalating issues outside of scope in a timely manner. Partner with production teams to drive continuous improvement in project delivery, efficiency, and profitability. Build and maintain strong relationships with internal and external stakeholders, including colleagues across departments and vendors. Develop trusted client relationships at the project level, achieving measurable success in customer satisfaction ratings. Ensure clear, effective, and timely communication with all project stakeholders, including clients and production teams. Maintain accuracy and timeliness of all financial systems data. Prepare and deliver reporting, including weekly project status updates, budget-to-actual analysis, time management, and client/vendor-related issues. Protect project profitability through effective margin management. Plan, prepare, and lead quarterly business reviews with clients in face-to-face settings.   Requirements Education Level: Master’s degree, or Bachelor’s degree with relevant industry experience in lieu of a Master’s degree. Proven track record in Localization Project Management. Experience working internationally or directly with global product development teams. Experience within a technology-driven company or environment. Demonstrated success managing large enterprise clients. Proven ability to lead and deliver large-scale accounts and complex projects successfully. Experience creating client-facing documentation, including Statements of Work (SOWs), proposals, process documentation, and post-project reviews. Proven record of contributing to process improvements, operational initiatives, and new ideas. Experience supporting new client sales cycles, including presentations, analysis, recommendations, and relationship development. Strong experience managing financial budgets, reconciliations, and budget reporting. Hands-on experience with CAT and TMS tools, ideally including Crowdin, Smartling, XTM, or Phrase.   Additional Skills Job Reference: #LI-JC1

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Do you care about how things work under the hood and don't shy away from complex, interconnected systems? Do you know how to independently investigate problems, build reliable test coverage, and guide others in maintaining a high bar for quality? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do The Core team handles the foundational pieces of the IntelliJ Platform, including the editor, indexing, settings, and plugins. These systems are highly complex and used across all JetBrains IDEs, meaning your work directly impacts the daily workflows of millions of developers. You’ll take full ownership of the QA domain for this team, ensuring the stability of both established components and temporary cross-team projects. You’ll work closely with developers to investigate technical problems, coordinate testing efforts, and ensure we ship reliable, high-quality features. Day to day, you will: Develop and maintain UI, end-to-end, functional, and integration tests across Linux, Windows, and macOS. Analyze test failures and track test coverage. Test new functionality, focusing on complex scenarios, edge cases, and potential coverage gaps. Improve test diagnostics, frameworks, and CI/CD pipelines to reduce flakiness and increase reliability. Mentor a junior QA engineer by helping plan tasks, reviewing work, and answering technical questions. Communicate risks, roadblocks, and investigation results clearly to the development team. Own your QA domain end to end, proactively identifying priorities, planning your work, and driving quality initiatives. What you’ll bring A strong sense of ownership over the quality and stability of complex systems. The ability to navigate incomplete requirements and find the information needed to move forward. A practical approach to problem-solving, with a focus on resolving issues independently. A collaborative mindset for working closely with developers and other cross-functional teams. An eye for spotting risks, missing scenarios, and areas for process improvement. A willingness to guide and support less-experienced engineers. What you’ll need An extensive background in software quality assurance and test automation. Strong programming skills to develop, maintain, and debug UI tests. Proficiency with testing frameworks like JUnit or TestNG. The proven ability to investigate and troubleshoot failures across products, infrastructure, and environments. Fluency in written and spoken English. What success looks like You’ve established a reliable, stable testing infrastructure for the Core team, significantly reducing test flakiness and improving diagnostic capabilities. You proactively identify quality risks before releases, keep developers unblocked, and ensure the junior engineers you mentor are confidently taking on more complex tasks. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Belgrade - Savski Venac, Serbia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. ⭐ Join Wolt as an English speaking Support Associate ⭐ 💙 What you’ll be doing: As a Support Associate at Wolt, your key responsibility is to ensure that our customers and partners enjoy a positive experience and receive the help they need within the expected timeframes. We’re looking for colleagues who value a stable and pleasant work environment just as much as continuous learning and skill development in delivering exceptional customer service in a fast-paced setting. 🌟 Day-to-day in this role, you’ll: Handle customer, courier, and merchant inquiries through live chat, phone, and email support Resolve escalations, operational issues, and time-sensitive cases quickly and professionally Support multiple Wolt markets, countries, user types, and ticket flows depending on business and queue needs Maintain a high-quality customer experience by using empathy, clear communication, and Wolt’s tone of voice Follow internal processes, company policies, playbooks, refund policies, escalation paths, and operational guidelines Use multiple tools at the same time, including support platforms, communication channels, knowledge bases, and operational tools Stay up to date with new processes, market changes, training materials, and internal updates 📝 Your profile: Excellent communication skills and plenty of patience Persistence, kindness, and empathy help you find the best solution for everyone involved Great attention to detail and strong focus You’re not intimidated by complex tasks that require quick thinking and good organization You handle stressful situations, you multitask, and you can handle multiple incoming interactions with ease Making fast decisions in challenging moments is one of your strengths You understand the importance of great customer experience You’re fluent in both Serbian and English (C1) You have at least a high school diploma You are willing to work in shifts, and on weekends, holidays, we operate 24/7 You’re comfortable with new apps and systems , and adapt quickly to changes Any previous work experience is welcome, especially in a similar role - but it’s not a requirement! We’ll teach you everything you need to know. 🎁 What’s in it for you: Fully remote work Starting salary: 52500 RSD gross + 50% extra pay for weekends, 110% holidays, and 26% night hours (22-06 hours) 5-day work week At least 25 days of paid vacation , with a possibility for additional paid days off Private Health Insurance 15% cashback on your Wolt orders Access to the FitPass program 2-3-week structured onboarding program Structured mentoring from our Team Leads Training sessions, workshops, and learning opportunities to enhance your skills A clear career development path , your growth as a Support Associate is our priority! With our support, you’ll have opportunities to grow and build your career within the company Wolt-wide training programs Employee Assistance Program for you and your immediate family A friendly, tolerant, and inclusive work environment All necessary equipment for your work (laptop, monitor, headset) ⏱️ Working hours: Wolt Customer Support operates 7 days a week, 365 days a year, 24/7. You’ll be working in the morning, afternoon shifts or night shifts, including weekends and holidays, depending on business and organizational needs. 💻 Technical requirements: A strong and reliable internet connection and a suitable remote working environment without distractions This is a fully remote position, but all work must be performed from Serbia only Candidates must also be available to fully participate in the training and onboarding process 🚀 Next steps: What to expect from onboarding: Your onboarding starts through our e-learning platform, and during your first week, you’ll work closely with a trainer. Training lasts 2-3 weeks, and during this period, you’ll always have someone to guide you through your shifts. After that, you’ll be supported by your Team Lead, who also acts as your mentor. We review applications continuously, so don’t wait! Apply as soon as possible, and we’ll get back to you shortly. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Tbilisi, Georgia Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We are looking for a Product Manager to take Infomediji products to the next level. You will deliver new products for leading VR video streaming company from scratch and be a center of expertise for both dev and business teams. What You Will Do Shape the long-term vision for new products and define how they stand out in the market of immersive products Lead the product discovery process to validate product-market fit Develop a strong value proposition for new products across different customer segments Own and manage a cross-platform product roadmap Work closely with engineering teams to define problems clearly and assist with solution design, delivery, and iteration Identify and validate new opportunities to extend products impact What We Are Looking For Experience owning product discovery, prioritisation, and delivery, ideally for B2C products such as recommendation systems or apps Experience with ML-based systems such as recommendation engines, personalization, or data-driven products Proven track record of managing and delivering complex technical products Exceptional communication skills and the ability to engage with CxO-level stakeholders effectively Track record of customer-centric thinking and the ability to translate user problems into product opportunities The ability to work through both the discovery and delivery phases of product development Leadership qualities that inspire and guide multiple development teams towards achieving product goals Experience working with AI-driven products or immersive media technologies is a plus Fluency in English, Russian Bonus Points 2+ years of hands-on engineering experience (Backend, ML, DevOps Engineer or related) Experience working with streaming platforms Advanced skills of SQL Experience working in start-up environment Hiring Process HR screening (30 min) Team Interview (1 hour) Case Task (2-4 hours) CEO Interview (45 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: As a Sales Development Representative (SDR), you will focus on three core missions.  One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance.  Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals.  By fulfilling our three core  missions, you will contribute importantly to Grafana Labs’ community and business goals. We understand that our commercial success is linked to our open source DNA and users’ success with our software.  As such, we want team members who can effectively leverage this connection and help support the long-term health of our company. In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone.  You will need to know how to use AI as a tool to constantly improve your productivity. This is a demanding and rewarding role.   It is a fast-paced and challenging environment.  While our company is growing sustainably,  we still have a lot of building and improving to do.  And we do this work together with our teammates from more than 15 different countries.  We're looking for driven, humble, technically curious  people who embrace a team-first attitude and demonstrate extreme ownership.   This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry.  You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible. What You’ll Be Doing: Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends Follow up on inbound leads effectively and efficiently Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone Use Salesforce and Grafana dashboards for lead and account management and research Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them Consistently meet new business opportunity and pipeline targets Collaborate with cross-functional teams such as marketing and sales to win as a team What Makes You a Great Fit: Fluent in English (written and spoken) Open to feedback and coaching, always looking for ways to improve Clear and concise written and verbal communication style Excellent organizational skills and the ability to prioritize many tasks and demands Willingness and ability to take on any task - no matter how small or big - with a focus on quality Resourceful and proactive in an environment that is constantly evolving Driven by purpose and by winning with a team-first attitude Located in the Sweden Bonus Points For: Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things: Would you be successful if you were part of our team? Will you love working here and be a positive influence on your fellow colleagues? Will you grow professionally and personally during your time here? We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart. During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained. Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview. Compensation & Rewards In Sweden, the OTE (On-Target Earnings) compensation range for this role is 530,00 SEK -  564,000 SEK. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Netherlands (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: As a Sales Development Representative (SDR), you will focus on three core missions.  One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance.  Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals.  By fulfilling our three core  missions, you will contribute importantly to Grafana Labs’ community and business goals. We understand that our commercial success is linked to our open source DNA and users’ success with our software.  As such, we want team members who can effectively leverage this connection and help support the long-term health of our company. In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone.  You will need to know how to use AI as a tool to constantly improve your productivity. This is a demanding and rewarding role.   It is a fast-paced and challenging environment.  While our company is growing sustainably,  we still have a lot of building and improving to do.  And we do this work together with our teammates from more than 15 different countries.  We're looking for driven, humble, technically curious  people who embrace a team-first attitude and demonstrate extreme ownership.   This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry.  You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible. What You’ll Be Doing: Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends Follow up on inbound leads effectively and efficiently Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone Use Salesforce and Grafana dashboards for lead and account management and research Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them Consistently meet new business opportunity and pipeline targets Collaborate with cross-functional teams such as marketing and sales to win as a team What Makes You a Great Fit: Fluent in English (written and spoken) Open to feedback and coaching, always looking for ways to improve Clear and concise written and verbal communication style Excellent organizational skills and the ability to prioritize many tasks and demands Willingness and ability to take on any task - no matter how small or big - with a focus on quality Resourceful and proactive in an environment that is constantly evolving Driven by purpose and by winning with a team-first attitude Located in the Netherlands Bonus Points For: Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things: Would you be successful if you were part of our team? Will you love working here and be a positive influence on your fellow colleagues? Will you grow professionally and personally during your time here? We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart. During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained. Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview. Compensation & Rewards In the Netherlands, the OTE (On-Target Earnings) compensation range for this role is 58,750 EUR -  61,850 EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Mexico; Colombia; Argentina; Brazil; Costa Rica; Chile About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Language Requirement: Fully bilingual in English & Spanish (spoken and written) Job Summary We are looking for a highly motivated and fully bilingual Sales Development Representative (SDR) fluent in both English and Spanish to support outbound lead generation and appointment setting for investment property loan products. This role is ideal for experienced SDRs with a strong background in cold calling, real estate finance, mortgages, or loan services. You’ll be responsible for engaging potential borrowers, qualifying opportunities, and scheduling appointments for senior loan advisors while maintaining high daily activity levels. The ideal candidate is confident on the phone, understands lending terminology, and thrives in a high-volume outbound sales environment. Key Responsibilities Conduct high-volume outbound prospecting calls to real estate investors and borrowers. Complete a minimum of 100 outbound calls per day. Book and qualify a target of 10 appointments per day for the sales team. Educate prospects on commercial and residential investment property loan solutions. Identify borrower needs and gather preliminary qualification information. Maintain accurate records and pipeline updates within the CRM. Follow up consistently with leads via phone, email, and SMS. Collaborate closely with loan officers and underwriting teams to support deal flow. Manage outbound campaigns using US-based dialer platforms. Maintain professional communication standards in both English and Spanish. Requirements Fully bilingual in English and Spanish (spoken and written) — required. 2+ years of experience in Sales Development, Appointment Setting, or Outbound Sales. Proven cold calling experience with consistent activity and appointment-setting metrics. Background in real estate finance, mortgages, lending, or investment property financing strongly preferred. Experience with loan origination, underwriting, loan processing, or mortgage support is highly advantageous. Strong understanding of commercial and residential investment property loans. Hands-on experience using: CRM platforms: HubSpot, PipeDrive, Go High Level Dialers: AirCall, CloudTalk, or similar US-based dialers Excellent objection-handling and communication skills. Strong organizational and time management abilities. Comfortable working in a fast-paced, KPI-driven remote sales environment. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. It's Your Turn. You've landed on the best square on the board. At Hasbro, we've been making the games that end up on family tables, dorm room floors, and game night wish lists for over 100 years. Monopoly. Scrabble. Clue. Risk. Battleship. Connect 4. Trivial Pursuit. Candy Land. Avalon Hill. You probably played them growing up. Now imagine being the lawyer who helps protect, grow, and shape them. We're looking for an Attorney to join our Global Games Legal Team supporting Hasbro Games. If you've got great legal instincts, a collaborative spirit, a sense of humor, and a genuine love for the way games bring people together, read on! As part of our legal team, you'll be a trusted advisor to the people building the next generation of Hasbro's most iconic game brands. That means working across product development, licensing, marketing, emerging tech, entertainment and AI - all in service of games that millions of people around the world know and love. You'll work fast, think on your feet, and never be bored. This role is hybrid out of our new Boston, MA headquarters (onsite Tuesday–Thursday). Until we open that location, you'll work out of our Pawtucket, RI HQ or our temporary Boston space. What You’ll Do As An Attorney: Be the go-to legal advisor for the Hasbro Games business - counseling partners on IP, licensing, advertising, promotions, privacy, regulatory compliance, AI, and emerging tech. Draft and negotiate a wide range of agreements: IP licenses, game concept submissions, talent and consulting deals, tech and AI agreements, marketing and promotion contracts, and NDAs. Navigate the fast-moving world of AI tools, digital platforms, and data-enabled products — from IP ownership questions to responsible AI adoption and translate the complexity into clear, practical guidance for business teams. Guide game and product development, packaging, and campaigns across TV, print, digital, and social including sweepstakes, contests, and consumer promotions. Partner with senior leaders and cross-functional teams to anticipate issues, manage risk, and make great ideas happen without getting stuck in Go Directly to Jail territory. Support licensing deals that extend beloved Hasbro game brands into new worlds -  digital experiences, mobile games, live events, collaborations, and beyond. What You’ll Bring: J.D. from an accredited law school, active bar membership in good standing, and 4 - 8 years of legal experience in a law firm and/or in-house - bonus points if that experience touches games, toys, consumer products, or entertainment. Strong chops drafting and negotiating IP, commercial, and technology agreements. Real experience with AI-enabled tools and advising on AI and emerging tech including risk and clear communication to non-legal partners. Solid grounding in copyright, trademark, and rights of publicity; working knowledge of digital, data, and privacy law. Excellent judgment, clear communication, and creative problem-solving - the kind that finds the “yes and” rather than just the "no." The ability to manage a full docket in a fast-moving environment - juggling multiple games at once, so to speak. Patent licensing experience: nice to have. An actual love of games? That'll take you far. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $137,200 — $205,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Abu Dhabi, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.